CoCoSci MIT @MITCoCoSci
Computational Cognitive Science Group | MIT | BCS Latest updates from Josh Tenenbaum's lab + Alumni Joined July 2020-
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How do people reason so flexibly about new problems, bringing to bear globally-relevant knowledge while staying locally-consistent? Can we engineer a system that can synthesize bespoke world models (expressed as probabilistic programs) on-the-fly?
How do people reason while still staying coherent – as if they have an internal ‘world model’ for situations they’ve never encountered? A new paper on open-world cognition (preview at the world models workshop at #ICML2025!)
Tomorrow, Oct. 8, @fchollet @mikeknoop are bringing ARC Prize live to @MIT in Boston! Thanks to Prof. Josh Tenenbaum, @MITbrainandcog, @MITCoCoSci, and AI@MIT for making this event possible. MIT students & staff - register now to get in! lu.ma/579tcudx
Ready to unlock new insights? Join this upcoming workshop and let's learn together!
I'm deeply honored to receive one of this year's @cogsci_soc Glushko Dissertation Prizes. While I'm still in a state of disbelief about the award, what I can say in no uncertain terms, is that developing these ideas with @rebecca_saxe has been immensely formative and rewarding.
I'm deeply honored to receive one of this year's @cogsci_soc Glushko Dissertation Prizes. While I'm still in a state of disbelief about the award, what I can say in no uncertain terms, is that developing these ideas with @rebecca_saxe has been immensely formative and rewarding.
[publication] "Perception of 3D shape integrates intuitive physics and analysis-by-synthesis" Research from @MITCoCoSci studying intuitive physics to explain how shape can be inferred from the deformations it causes to other objects, as in cloth draping. cbmm.mit.edu/publications/p…
In a seminal paper by @LakeBrenden @TomerUllman @MITCoCoSci and @gershbrain put forward core domains of intelligence that are easy for people to reason about but difficult for machines. These include intuitive physics, causal reasoning, and intuitive psychology, among others.
There have been tremendous advances at the nexus of AI + mathematics. But it’s worth reflecting what our goals are for automated mathematicians. In our brief position piece for the #MathAI workshop @NeurIPSConf, we argue now is a great time to look to CogSci for reflection! 1/
Once upon a time, a mighty sphinx, the Area Chair of Thebes, terrorized all who dared to cross the mountain path into the city. Travelers would be asked the riddle: “How is a photon like a rational agent?” Failure to answer resulted in an immediate desk reject. #NeurIPS2023
What if we equipped LLMs with cutting-edge code refactoring tools? 🤖🛠 Presenting LILO: Library Induction with Language Observations 📝 arxiv.org/abs/2310.19791 💻 github.com/gabegrand/lilo + Lio Wong, @mattlbowers, @theo_olausson, Muxin Liu, Josh Tenenbaum & @jacobandreas️ 🧵⬇️
📢 Introducing 🔗LINC, a neurosymbolic approach to logical reasoning w/ awesome co-first authors @theo_olausson, @ben_lipkin, and Cedegao Zhang + advisors Armando Solar-Lezama, Josh Tenenbaum, and @roger_p_levy! 📜arxiv.org/abs/2310.15164 💻github.com/benlipkin/linc 🧵⬇️ (1/n)
🔥Preprint Alert🔥 Excited to share some new work modeling human 3D shape perception! “Approaching human 3D shape perception with neurally mappable models” w/ @tylerraye, @_yonifriedman, @_atewari, Josh Tenenbaum, @vincesitzmann, @Nancy_Kanwisher arxiv.org/abs/2308.11300 🧵
Cognitive scientists! You don’t want to miss our #CogSci2023 Workshop: “How does the mind discover useful abstractions?” cogsci-abstractions-workshop.github.io Co-organized w/ the peerless @wkvong + Lio Wong + @marcelomattar!
🔥 The program for the NLRSE workshop at #ACL2023NLP is posted 🔥 nl-reasoning-workshop.github.io In addition to the 5 invited talks, we have a fantastic technical program with 70 papers being presented! Make sure you stick around on Thursday after the main conference!

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